Added new demo

ai_meeting_agent/README.md

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+## 📝 AI Meeting Preparation Agent
+This Streamlit application leverages multiple AI agents to create comprehensive meeting preparation materials. It uses OpenAI's GPT-4, Anthropic's Claude, and the Serper API for web searches to generate context analysis, industry insights, meeting strategies, and executive briefings.
+
+### Features
+
+- Multi-agent AI system for thorough meeting preparation
+- Utilizes OpenAI's GPT-4 and Anthropic's Claude models
+- Web search capability using Serper API
+- Generates detailed context analysis, industry insights, meeting strategies, and executive briefings
+
+### How to get Started?
+
+1. Clone the GitHub repository
+
+```bash
+git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+```
+2. Install the required dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+3. Get your Anthropic API Key
+
+- Sign up for an [Anthropic account](https://console.anthropic.com) (or the LLM provider of your choice) and obtain your API key.
+
+4. Get your SerpAPI Key
+
+- Sign up for an [Serper API account](https://serper.dev/) and obtain your API key.
+
+5. Get your OpenAI API Key
+
+- Sign up for an [OpenAI account](https://platform.openai.com/) (or the LLM provider of your choice) and obtain your API key.
+
+6. Run the Streamlit App
+```bash
+streamlit run meeting_agent.py
+```

ai_meeting_agent/meeting_agent.py

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+import streamlit as st
+from crewai import Agent, Task, Crew, Process
+from langchain_openai import ChatOpenAI
+from langchain_anthropic import ChatAnthropic
+from crewai_tools import SerperDevTool
+import os
+
+# Streamlit app setup
+st.set_page_config(page_title="AI Meeting Agent 📝", layout="wide")
+st.title("AI Meeting Preparation Agent 📝")
+
+# Sidebar for API keys
+st.sidebar.header("API Keys")
+openai_api_key = st.sidebar.text_input("OpenAI API Key", type="password")
+anthropic_api_key = st.sidebar.text_input("Anthropic API Key", type="password")
+serper_api_key = st.sidebar.text_input("Serper API Key", type="password")
+
+# Check if all API keys are set
+if openai_api_key and anthropic_api_key and serper_api_key:
+    # Set API keys as environment variables
+    os.environ["OPENAI_API_KEY"] = openai_api_key
+    os.environ["ANTHROPIC_API_KEY"] = anthropic_api_key
+    os.environ["SERPER_API_KEY"] = serper_api_key
+
+    # Initialize the AI models and tools
+    gpt4 = ChatOpenAI(model_name="gpt-4o-mini")
+    claude = ChatAnthropic(model_name="claude-3-5-sonnet-20240620")
+    search_tool = SerperDevTool()
+
+    # Input fields
+    company_name = st.text_input("Enter the company name:")
+    meeting_objective = st.text_input("Enter the meeting objective:")
+    attendees = st.text_area("Enter the attendees and their roles (one per line):")
+    meeting_duration = st.number_input("Enter the meeting duration (in minutes):", min_value=15, max_value=180, value=60, step=15)
+    focus_areas = st.text_input("Enter any specific areas of focus or concerns:")
+
+    # Define the agents
+    context_analyzer = Agent(
+        role='Meeting Context Specialist',
+        goal='Analyze and summarize key background information for the meeting',
+        backstory='You are an expert at quickly understanding complex business contexts and identifying critical information.',
+        verbose=True,
+        allow_delegation=False,
+        llm=gpt4,
+        tools=[search_tool]
+    )
+
+    industry_insights_generator = Agent(
+        role='Industry Expert',
+        goal='Provide in-depth industry analysis and identify key trends',
+        backstory='You are a seasoned industry analyst with a knack for spotting emerging trends and opportunities.',
+        verbose=True,
+        allow_delegation=False,
+        llm=gpt4,
+        tools=[search_tool]
+    )
+
+    strategy_formulator = Agent(
+        role='Meeting Strategist',
+        goal='Develop a tailored meeting strategy and detailed agenda',
+        backstory='You are a master meeting planner, known for creating highly effective strategies and agendas.',
+        verbose=True,
+        allow_delegation=False,
+        llm=claude,
+    )
+
+    executive_briefing_creator = Agent(
+        role='Communication Specialist',
+        goal='Synthesize information into concise and impactful briefings',
+        backstory='You are an expert communicator, skilled at distilling complex information into clear, actionable insights.',
+        verbose=True,
+        allow_delegation=False,
+        llm=claude,
+    )
+
+    # Define the tasks
+    context_analysis_task = Task(
+        description=f"""
+        Analyze the context for the meeting with {company_name}, considering:
+        1. The meeting objective: {meeting_objective}
+        2. The attendees: {attendees}
+        3. The meeting duration: {meeting_duration} minutes
+        4. Specific focus areas or concerns: {focus_areas}
+
+        Research {company_name} thoroughly, including:
+        1. Recent news and press releases
+        2. Key products or services
+        3. Major competitors
+
+        Provide a comprehensive summary of your findings, highlighting the most relevant information for the meeting context.
+        Format your output using markdown with appropriate headings and subheadings.
+        """,
+        agent=context_analyzer,
+        expected_output="A detailed analysis of the meeting context and company background, including recent developments, financial performance, and relevance to the meeting objective, formatted in markdown with headings and subheadings."
+    )
+
+    industry_analysis_task = Task(
+        description=f"""
+        Based on the context analysis for {company_name} and the meeting objective: {meeting_objective}, provide an in-depth industry analysis:
+        1. Identify key trends and developments in the industry
+        2. Analyze the competitive landscape
+        3. Highlight potential opportunities and threats
+        4. Provide insights on market positioning
+
+        Ensure the analysis is relevant to the meeting objective and attendees' roles.
+        Format your output using markdown with appropriate headings and subheadings.
+        """,
+        agent=industry_insights_generator,
+        expected_output="A comprehensive industry analysis report, including trends, competitive landscape, opportunities, threats, and relevant insights for the meeting objective, formatted in markdown with headings and subheadings."
+    )
+
+    strategy_development_task = Task(
+        description=f"""
+        Using the context analysis and industry insights, develop a tailored meeting strategy and detailed agenda for the {meeting_duration}-minute meeting with {company_name}. Include:
+        1. A time-boxed agenda with clear objectives for each section
+        2. Key talking points for each agenda item
+        3. Suggested speakers or leaders for each section
+        4. Potential discussion topics and questions to drive the conversation
+        5. Strategies to address the specific focus areas and concerns: {focus_areas}
+
+        Ensure the strategy and agenda align with the meeting objective: {meeting_objective}
+        Format your output using markdown with appropriate headings and subheadings.
+        """,
+        agent=strategy_formulator,
+        expected_output="A detailed meeting strategy and time-boxed agenda, including objectives, key talking points, and strategies to address specific focus areas, formatted in markdown with headings and subheadings."
+    )
+
+    executive_brief_task = Task(
+        description=f"""
+        Synthesize all the gathered information into a comprehensive yet concise executive brief for the meeting with {company_name}. Create the following components:
+
+        1. A detailed one-page executive summary including:
+           - Clear statement of the meeting objective
+           - List of key attendees and their roles
+           - Critical background points about {company_name} and relevant industry context
+           - Top 3-5 strategic goals for the meeting, aligned with the objective
+           - Brief overview of the meeting structure and key topics to be covered
+
+        2. An in-depth list of key talking points, each supported by:
+           - Relevant data or statistics
+           - Specific examples or case studies
+           - Connection to the company's current situation or challenges
+
+        3. Anticipate and prepare for potential questions:
+           - List likely questions from attendees based on their roles and the meeting objective
+           - Craft thoughtful, data-driven responses to each question
+           - Include any supporting information or additional context that might be needed
+
+        4. Strategic recommendations and next steps:
+           - Provide 3-5 actionable recommendations based on the analysis
+           - Outline clear next steps for implementation or follow-up
+           - Suggest timelines or deadlines for key actions
+           - Identify potential challenges or roadblocks and propose mitigation strategies
+
+        Ensure the brief is comprehensive yet concise, highly actionable, and precisely aligned with the meeting objective: {meeting_objective}. The document should be structured for easy navigation and quick reference during the meeting.
+        Format your output using markdown with appropriate headings and subheadings.
+        """,
+        agent=executive_briefing_creator,
+        expected_output="A comprehensive executive brief including summary, key talking points, Q&A preparation, and strategic recommendations, formatted in markdown with main headings (H1), section headings (H2), and subsection headings (H3) where appropriate. Use bullet points, numbered lists, and emphasis (bold/italic) for key information."
+    )
+
+    # Create the crew
+    meeting_prep_crew = Crew(
+        agents=[context_analyzer, industry_insights_generator, strategy_formulator, executive_briefing_creator],
+        tasks=[context_analysis_task, industry_analysis_task, strategy_development_task, executive_brief_task],
+        verbose=True,
+        process=Process.sequential
+    )
+
+    # Run the crew when the user clicks the button
+    if st.button("Prepare Meeting"):
+        with st.spinner("AI agents are preparing your meeting..."):
+            result = meeting_prep_crew.kickoff()        
+        st.markdown(result)
+
+    st.sidebar.markdown("""
+    ## How to use this app:
+    1. Enter your API keys in the sidebar.
+    2. Provide the requested information about the meeting.
+    3. Click 'Prepare Meeting' to generate your comprehensive meeting preparation package.
+
+    The AI agents will work together to:
+    - Analyze the meeting context and company background
+    - Provide industry insights and trends
+    - Develop a tailored meeting strategy and agenda
+    - Create an executive brief with key talking points
+
+    This process may take a few minutes. Please be patient!
+    """)
+else:
+    st.warning("Please enter all API keys in the sidebar before proceeding.")

ai_meeting_agent/requirements.txt

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+streamlit 
+crewai
+crewai-tools
+openai